Hoi-Shan Lin

University of North Carolina at Charlotte

Papers

Total Citations

H-Index

About

Hoi-Shan Lin is a pioneer in evolutionary robotics, whose work has fundamentally shaped how mobile robots navigate complex, obstacle-strewn environments. His research centers on bio-inspired path planning and autonomous navigation, leveraging genetic algorithms to solve real-world robotics challenges. Lin’s seminal 2002 paper, "Evolutionary algorithm for path planning in mobile robot environment," which has earned 55 citations, introduced a groundbreaking approach that unifies off-line and on-line planning within continuous free space—a significant departure from traditional grid-based methods. This work demonstrated that evolutionary algorithms could dynamically adapt to unknown obstacles without requiring pre-mapped environments. Expanding on this foundation, his companion paper on the "Evolutionary Navigator" (EN) achieved 26 citations by showing how a simple data structure could enable near-optimal path searching at user-defined levels of optimization. Lin’s key contribution lies in proving that genetic algorithms can provide both flexibility and efficiency for real-time robot navigation, bridging the gap between theoretical optimization and practical deployment. His research remains highly influential in autonomous systems, inspiring subsequent work in adaptive robotics and swarm intelligence.